CN106841778A - The processing method of the subsynchronous and supersynchronous harmonic parameters realized based on PMU - Google Patents
The processing method of the subsynchronous and supersynchronous harmonic parameters realized based on PMU Download PDFInfo
- Publication number
- CN106841778A CN106841778A CN201611233053.3A CN201611233053A CN106841778A CN 106841778 A CN106841778 A CN 106841778A CN 201611233053 A CN201611233053 A CN 201611233053A CN 106841778 A CN106841778 A CN 106841778A
- Authority
- CN
- China
- Prior art keywords
- subsynchronous
- supersynchronous harmonic
- pmu
- supersynchronous
- frequency
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
- G01R23/16—Spectrum analysis; Fourier analysis
Abstract
The invention discloses a kind of processing method of the subsynchronous and supersynchronous harmonic parameters realized based on PMU, the current signal containing subsynchronous and supersynchronous harmonic parameters carries out resampling in being gathered to AD, cannot be only used for analyzing subsynchronous harmonic parameters, can also be used to analyze supersynchronous harmonic parameters, the frequency spectrum of FFT is corrected using Grandke spectrum correcting methods, overcome the fence effect and spectrum leakage phenomenon in FFT spectrum analysis, substantially increase the identification precision of oscillating component parameter, the software and hardware expense at WAMS main websites end is alleviated to a certain extent, and for total system power network wide area is monitored, automation of transformation substations observing and controlling, stability contorting, the functions such as selfadaptive computation provide reliable initial data and data supporting, have a good application prospect.
Description
Technical field
The present invention relates to power system stability and control technical field, and in particular to a kind of based on the subsynchronous of PMU realizations
With the processing method of supersynchronous harmonic parameters.
Background technology
In recent years, as the new-energy grid-connecteds such as the continuous expansion of power network scale and large-scale wind power are sent outside so that power network
The frequency that synchronized oscillation occurs is continuously increased.Find and take measures to suppress the vibration in network system in time, it is electric as ensureing
One of the safe and stable operation of Force system key issue urgently to be resolved hurrily.With the increase of vibration occurrence frequency, in the provincial scheduling of net
The heart is proposed strengthens low-frequency oscillation, the demand of sub-synchronous oscillation overall situation early warning, and has carried out based on WAMS (WAMS)
The correlative study of the vibration on-line monitoring analysis of synchronous phasor measurement data.Synchronous phasor measurement unit (Phasor Measure
Unit, PMU) as the core of WAMS substation systems, it is responsible for the task of raw data acquisition, measurement and transmission.It is especially near
Nian Lai, PMU provide high accuracy, height for each net when provincial control centre analyzes each oscillatory occurences on based on WAMS system-baseds
Density original data source, therefore, increasingly achieve attention extensively.
But, there is following drawback when the main website end of WAMS carries out vibration on-line monitoring analysis.Firstly, since WAMS master
Stand to PMU synchronized phasor data acquisitions and there is frequency alias, so that WAMS main websites cannot accurately analyze sub-synchronous oscillation
The characteristic parameter of component；Secondly, in order to suppress out-of-band interference, filtered with outer frequency in the synchronous phasor measurement data that PMU is uploaded
Rate, therefore, for the supersynchronous harmonic component more than 50Hz, because its frequency component is higher, therefore, WAMS main websites end cannot be entered
The detection and analysis of the supersynchronous harmonic component of row.Finally, with the continuous expansion of power network scale, the continuous increasing that PMU cloth is counted out
It is many so that network structure is increasingly complicated, carry out parameter of oscillation identification at WAMS main websites end and considerably increase the soft of WAMS main websites end
Hardware spending, and in the presence of the identification time it is long, identification precision is low, algorithm realize it is complicated, asking for supersynchronous harmonic parameters cannot be analyzed
How topic, overcome above-mentioned problem, is current urgent problem.
The content of the invention
The purpose of the present invention is to overcome existing WAMS main websites end to carry out vibration on-line monitoring to analyze, and there is the identification time
Long, identification precision is low, algorithm realizes problem that is complicated, cannot analyzing supersynchronous harmonic parameters.It is of the invention based on PMU realize
The processing method of subsynchronous and supersynchronous harmonic parameters, realizes the quick, high-precision of subsynchronous harmonic wave and supersynchronous harmonic parameters
Degree identification, alleviates the software and hardware expense at WAMS main websites end, and be the monitoring of total system power network wide area, transformer station to a certain extent
The functions such as automatic measure control, stability contorting, selfadaptive computation provide reliable initial data and data supporting, with good
Good application prospect.
In order to achieve the above object, the technical solution adopted in the present invention is：
A kind of processing method of the subsynchronous and supersynchronous harmonic parameters realized based on PMU, it is characterised in that：Including following
Step,
Step (A), the current signal containing subsynchronous and supersynchronous harmonic parameters carries out resampling in being gathered to AD；
Step (B), the current sampling data to resampling carries out FFT spectrum analysis, obtains frequency spectrum X (n)；
Step (C), carries out frequency spectrum X (n) and corrects using Grandke spectrum correcting methods, calculates subsynchronous and supersynchronous humorous
The amplitude of ripple signal, frequency；
Step (D), amplitude, the frequency of the subsynchronous and supersynchronous harmonic signal that step (C) is calculated, by PMU devices
WAMS main websites are delivered on analog quantity channel in transmission protocol；
Step (E), the amplitude of the subsynchronous and supersynchronous harmonic signal calculated according to step (C) judges whether generation time
Synchronized oscillation, if occurring, starts PMU devices and is continuously recorded ripple.
The processing method of the foregoing subsynchronous and supersynchronous harmonic parameters realized based on PMU, it is characterised in that：Step
(A) current signal containing subsynchronous and supersynchronous harmonic parameters carries out resampling, the sample frequency of resampling in, being gathered to AD
fsIt is 1KHz.
The processing method of the foregoing subsynchronous and supersynchronous harmonic parameters realized based on PMU, it is characterised in that：AD is gathered
In the current signal containing subsynchronous and supersynchronous harmonic parameters Mathematical Modeling, such as formula (1) is shown,
Wherein, ω0It is fundamental frequency, ωiFor each subsynchronous and supersynchronous harmonic component frequency,At the beginning of fundamental signal
Phase angle,Initial phase angle, amplitude, the Δ A that A is fundamental wave for each subsynchronous and supersynchronous harmonic componentiFor each subsynchronous and super same
Step harmonic component amplitude.
The processing method of the foregoing subsynchronous and supersynchronous harmonic parameters realized based on PMU, it is characterised in that：For secondary
Synchronized harmonics component, ωiFrequency range between 5Hz-45Hz, for supersynchronous harmonic component, ωiFrequency range be more than
50Hz。
The processing method of the foregoing subsynchronous and supersynchronous harmonic parameters realized based on PMU, it is characterised in that：Step
(C), frequency spectrum X (n) is carried out using Grandke spectrum correcting methods to correct, the amplitude of the subsynchronous and supersynchronous harmonic signal of calculating,
Frequency, comprises the following steps,
(C1) each maximum point of frequency spectrum X (n), the spectral line serial number k at note X (n) each maximum are obtainedi, with kiSpectral line phase
Two adjacent spectral line sequence numbers are designated as ki- 1 and ki+ 1, the complex values of this three spectral lines are designated asWherein, i=
1,...,M；M is the subsynchronous and supersynchronous harmonic wave contained in the current signal containing subsynchronous and supersynchronous harmonic parameters
Number.
(C2), according to formula (2), formula (3), the correction of amplitude and frequency is realized, it is subsynchronous and supersynchronous after correction
The frequency and amplitude of harmonic signal are remembered respectivelyWithWherein
Wherein, N is the points for calculating FFT, the δ in formula (2), formula (3)i, obtained according to formula (4),
The processing method of the foregoing subsynchronous and supersynchronous harmonic parameters realized based on PMU, it is characterised in that：Step
(E) amplitude of the subsynchronous and supersynchronous harmonic signal for, being calculated according to step (C), judges whether sub-synchronous oscillation, judges
Process is as follows：
(E1) frequency of subsynchronous and supersynchronous harmonic signal, is judgedWhether between 5Hz-45Hz, if meeting condition,
Then continue executing with (E2)；Otherwise, sub-synchronous oscillation judgement is exited；
(E2) amplitude of subsynchronous and supersynchronous harmonic signal, is judgedWhether subsynchronous the shaking of PMU device setting is more than
The amplitude thresholds of detected amplitude are swung, if being more than, is continued executing with (E3)；Otherwise, sub-synchronous oscillation judgement is exited；
(E3), judge whether the duration of subsynchronous and supersynchronous harmonic signal is subsynchronous more than what PMU devices set
The duration threshold of vibration, if exceeding, continues executing with (E4)；Otherwise, sub-synchronous oscillation judgement is exited；
(E4), now, judge sub-synchronous oscillation, start PMU devices and continuously recorded ripple.
The processing method of the foregoing subsynchronous and supersynchronous harmonic parameters realized based on PMU, it is characterised in that：The width
Value threshold value may be set to the 10% of nominal current magnitude.
The processing method of the foregoing subsynchronous and supersynchronous harmonic parameters realized based on PMU, it is characterised in that：It is described to hold
Continuous time threshold may be set to 10s.
The beneficial effects of the invention are as follows：The treatment of the subsynchronous and supersynchronous harmonic parameters realized based on PMU of the invention
Method, the current signal containing subsynchronous and supersynchronous harmonic parameters carries out resampling in being gathered to AD, cannot be only used for analysis
Subsynchronous harmonic parameters, it may also be used for the supersynchronous harmonic parameters of analysis, using Grandke spectrum correcting methods to the frequency spectrum of FFT
Corrected, overcome the fence effect and spectrum leakage phenomenon in FFT spectrum analysis, substantially increased oscillating component parameter
Identification precision, alleviate the software and hardware expense at WAMS main websites end to a certain extent, and be the monitoring of total system power network wide area, become
The functions such as power station automation observing and controlling, stability contorting, selfadaptive computation provide reliable initial data and data supporting, tool
There is good application prospect.
Brief description of the drawings
Fig. 1 is the flow chart of the online check method of electric network model for intelligent grid scheduling system of the invention.
Fig. 2 is the spectrogram of 2048 FFT spectrums analysis of emulation signal of the invention.
Specific embodiment
Below in conjunction with Figure of description, the present invention is further illustrated.
As shown in figure 1, the processing method of the subsynchronous and supersynchronous harmonic parameters realized based on PMU of the invention, including
Following steps,
Step (A), the current signal containing subsynchronous and supersynchronous harmonic parameters carries out resampling in being gathered to AD, adopts again
The sample frequency f of samplesIt is 1KHz, 1KHz ensure that shorter data window is long, therefore improve the rapidity of algorithm, AD collections
In the current signal containing subsynchronous and supersynchronous harmonic parameters Mathematical Modeling, such as formula (1) is shown,
Wherein, ω0It is fundamental frequency, ωiFor each subsynchronous and supersynchronous harmonic component frequency,At the beginning of fundamental signal
Phase angle,Initial phase angle, amplitude, the Δ A that A is fundamental wave for each subsynchronous and supersynchronous harmonic componentiFor each subsynchronous and super same
Step harmonic component amplitude, for subsynchronous harmonic component, ωiFrequency range is divided between 5Hz-45Hz for supersynchronous harmonic wave
Amount, ωiFrequency range be more than 50Hz；
Step (B), the current sampling data to resampling carries out FFT spectrum analysis, obtains frequency spectrum X (n), and counterweight is adopted here
The current sampling data of sample does 2048 FFT spectrum analyses；
Step (C), carries out frequency spectrum X (n) and corrects using Grandke spectrum correcting methods, calculates subsynchronous and supersynchronous humorous
The amplitude of ripple signal, frequency, comprise the following steps,
(C1) each maximum point of frequency spectrum X (n), the spectral line serial number k at note X (n) each maximum are obtainedi, with kiSpectral line phase
Two adjacent spectral line sequence numbers are designated as ki- 1 and ki+ 1, the complex values of this three spectral lines are designated asWherein, i=
1,...,M；M is the subsynchronous and supersynchronous harmonic wave contained in the current signal containing subsynchronous and supersynchronous harmonic parameters
Number；
(C2), according to formula (2), formula (3), the correction of amplitude and frequency is realized, it is subsynchronous and supersynchronous after correction
The frequency and amplitude of harmonic signal are remembered respectivelyWithWherein,
Wherein, N is the points for calculating FFT, the δ in formula (2), formula (3)i, obtained according to formula (4),
Step (D), amplitude, the frequency of the subsynchronous and supersynchronous harmonic signal that step (C) is calculated, by PMU devices
WAMS main websites are delivered on analog quantity channel in transmission protocol；
Step (E), the amplitude of the subsynchronous and supersynchronous harmonic signal calculated according to step (C) judges whether generation time
Synchronized oscillation, if occurring, starts PMU devices and is continuously recorded ripple, and deterministic process is as follows：
(E1) frequency of subsynchronous and supersynchronous harmonic signal, is judgedWhether between 5Hz-45Hz, if meeting condition,
Then continue executing with (E2)；Otherwise, sub-synchronous oscillation judgement is exited；
(E2) amplitude of subsynchronous and supersynchronous harmonic signal, is judgedWhether subsynchronous the shaking of PMU device setting is more than
The amplitude thresholds of detected amplitude are swung, if being more than, is continued executing with (E3)；Otherwise, sub-synchronous oscillation judgement is exited；
(E3), judge whether the duration of subsynchronous and supersynchronous harmonic signal is subsynchronous more than what PMU devices set
The duration threshold of vibration, if exceeding, continues executing with (E4)；Otherwise, sub-synchronous oscillation judgement is exited；
(E4), now, judge sub-synchronous oscillation, start PMU devices and continuously recorded ripple.
The amplitude thresholds are set as the 10% of nominal current magnitude, and the duration threshold is set as 10s, also can root
According to being actually needed the adjustment that carries out amplitude thresholds, duration threshold.
The processing method of the subsynchronous and supersynchronous harmonic parameters realized based on PMU of the invention, by the effect for emulating
As follows, the emulation signal for being applied is：
X (n)=0.5*cos (2*pi*15*n/1000)+cos (2*pi*50*n/1000)+0.4*cos (2*pi*85*n/
1000)+0.3*cos(2*pi*110*n/1000)；
2048 fft analysis are carried out in matlab, its spectrogram is obtained, as shown in Fig. 2 as shown in Figure 2, if not carrying out
Spectrum Correction, because there is spectrum leakage, the amplitude and frequency estimation accuracy of each signal are relatively low.Table 1 is on PMU devices, to use
Each signal amplitude and frequency parameter obtained after the correction of Grandke spectrum correcting methods, as shown in Table 1, its precision is greatly improved.
The subsynchronous and supersynchronous harmonic parameters result of calculation of table 1
In sum, the processing method of the subsynchronous and supersynchronous harmonic parameters realized based on PMU of the invention, is adopted to AD
Concentrating the current signal containing subsynchronous and supersynchronous harmonic parameters carries out resampling, cannot be only used for analyzing subsynchronous harmonic wave ginseng
Number, it may also be used for the supersynchronous harmonic parameters of analysis, is corrected using Grandke spectrum correcting methods to the frequency spectrum of FFT, gram
The fence effect and spectrum leakage phenomenon in FFT spectrum analysis are taken, WAMS main websites end has been eliminated and is analyzed subsynchronous harmonic parameters
The frequency alias phenomenon of presence, solves the problems, such as that WAMS main websites end cannot analyze supersynchronous harmonic parameters, is that monitoring is electric in time
Sub-synchronous oscillation phenomenon in Force system, takes measures to ensure unit safety and power system stability operation, there is provided Yi Zhongyou
Effect, reliable means, substantially increase the identification precision of oscillating component parameter, and WAMS main websites end is alleviated to a certain extent
Software and hardware expense, and be the monitoring of total system power network wide area, automation of transformation substations observing and controlling, stability contorting, selfadaptive computation etc.
Function provides reliable initial data and data supporting, has a good application prospect.
General principle of the invention, principal character and advantage has been shown and described above.The technical staff of the industry should
Understand, the present invention is not limited to the above embodiments, simply original of the invention is illustrated described in above-described embodiment and specification
Reason, without departing from the spirit and scope of the present invention, various changes and modifications of the present invention are possible, these changes and improvements
All fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appending claims and its equivalent circle.
It is fixed.
Claims (8)
1. the processing method of the subsynchronous and supersynchronous harmonic parameters realized based on PMU, it is characterised in that：Comprise the following steps,
Step (A), the current signal containing subsynchronous and supersynchronous harmonic parameters carries out resampling in being gathered to AD；
Step (B), the current sampling data to resampling carries out FFT spectrum analysis, obtains frequency spectrum X (n)；
Step (C), carries out frequency spectrum X (n) and corrects using Grandke spectrum correcting methods, calculates subsynchronous and supersynchronous harmonic wave letter
Number amplitude, frequency；
Step (D), amplitude, the frequency of the subsynchronous and supersynchronous harmonic signal that step (C) is calculated, is transmitted by PMU devices
WAMS main websites are delivered on analog quantity channel in stipulations；
Step (E), the amplitude of the subsynchronous and supersynchronous harmonic signal calculated according to step (C) judges whether that generation is subsynchronous
Vibration, if occurring, starts PMU devices and is continuously recorded ripple.
2. it is according to claim 1 based on PMU realize subsynchronous and supersynchronous harmonic parameters processing method, its feature
It is：Step (A), the current signal containing subsynchronous and supersynchronous harmonic parameters carries out resampling, resampling in being gathered to AD
Sample frequency fsIt is 1KHz.
3. it is according to claim 1 based on PMU realize subsynchronous and supersynchronous harmonic parameters processing method, its feature
It is：The Mathematical Modeling of the current signal containing subsynchronous and supersynchronous harmonic parameters in AD collections, such as shown in formula (1),
Wherein, ω0It is fundamental frequency, ωiFor each subsynchronous and supersynchronous harmonic component frequency,For fundamental signal initial phase angle,Initial phase angle, amplitude, the Δ A that A is fundamental wave for each subsynchronous and supersynchronous harmonic componentiIt is each subsynchronous and supersynchronous harmonic wave
Component amplitude, M is the subsynchronous and supersynchronous harmonic wave number contained in current signal.
4. it is according to claim 3 based on PMU realize subsynchronous and supersynchronous harmonic parameters processing method, its feature
It is：For subsynchronous harmonic component, ωiFrequency range between 5Hz-45Hz, for supersynchronous harmonic component, ωiFrequency
Scope is more than 50Hz.
5. it is according to claim 3 based on PMU realize subsynchronous and supersynchronous harmonic parameters processing method, its feature
It is：Step (C), carries out frequency spectrum X (n) and corrects using Grandke spectrum correcting methods, calculates subsynchronous and supersynchronous harmonic wave letter
Number amplitude, frequency, comprise the following steps,
(C1) each maximum point of frequency spectrum X (n), the spectral line serial number k at note X (n) each maximum are obtainedi, with kiSpectral line is adjacent
Two spectral line sequence numbers are designated as ki- 1 and ki+ 1, the complex values of this three spectral lines are designated asWherein, i=1 ...,
M, M are the subsynchronous and supersynchronous harmonic wave number contained in the current signal containing subsynchronous and supersynchronous harmonic parameters；
(C2), according to formula (2), formula (3), the correction of amplitude and frequency is realized, the subsynchronous and supersynchronous harmonic wave after correction
The frequency and amplitude of signal are remembered respectivelyWithWherein
Wherein, N is the points for calculating FFT, the δ in formula (2), formula (3)i, obtained according to formula (4),
6. it is according to claim 1 based on PMU realize subsynchronous and supersynchronous harmonic parameters processing method, its feature
It is：Step (E), the amplitude of the subsynchronous and supersynchronous harmonic signal calculated according to step (C) judges whether that generation is subsynchronous
Vibration, deterministic process is as follows：
(E1) frequency of subsynchronous and supersynchronous harmonic signal, is judgedWhether between 5Hz-45Hz, if meeting condition, after
It is continuous to perform (E2)；Otherwise, sub-synchronous oscillation judgement is exited；
(E2) amplitude of subsynchronous and supersynchronous harmonic signal, is judgedWhether examined more than the sub-synchronous oscillation of PMU devices setting
The amplitude thresholds of amplitude are surveyed, if being more than, is continued executing with (E3)；Otherwise, sub-synchronous oscillation judgement is exited；
(E3), judge subsynchronous and supersynchronous harmonic signal duration whether more than PMU devices set sub-synchronous oscillation
Duration threshold, if exceeding, continue executing with (E4)；Otherwise, sub-synchronous oscillation judgement is exited；
(E4), now, judge sub-synchronous oscillation, start PMU devices and continuously recorded ripple.
7. it is according to claim 6 based on PMU realize subsynchronous and supersynchronous harmonic parameters processing method, its feature
It is：The amplitude thresholds may be set to the 10% of nominal current magnitude.
8. it is according to claim 6 based on PMU realize subsynchronous and supersynchronous harmonic parameters processing method, its feature
It is：The duration threshold may be set to 10s.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611233053.3A CN106841778B (en) | 2016-12-28 | 2016-12-28 | PMU-based subsynchronous and supersynchronous harmonic parameter processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611233053.3A CN106841778B (en) | 2016-12-28 | 2016-12-28 | PMU-based subsynchronous and supersynchronous harmonic parameter processing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106841778A true CN106841778A (en) | 2017-06-13 |
| CN106841778B CN106841778B (en) | 2020-02-04 |
Family
ID=59113035
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611233053.3A Active CN106841778B (en) | 2016-12-28 | 2016-12-28 | PMU-based subsynchronous and supersynchronous harmonic parameter processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106841778B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107561359A (en) * | 2017-08-31 | 2018-01-09 | 国网新疆电力公司 | A kind of m-Acetyl chlorophosphonazo extracting method based on Blackman window |
| CN108490254A (en) * | 2018-01-29 | 2018-09-04 | 国电南瑞科技股份有限公司 | A kind of broadband multi-frequency signal measurement method based on more algorithm fusions |
| CN110231514A (en) * | 2019-06-26 | 2019-09-13 | 北京四方继保自动化股份有限公司 | A kind of synchronous phasor measuring method suitable for wideband measurement |
| CN110412349A (en) * | 2019-08-27 | 2019-11-05 | 四川大学 | Synchronized phasor data sub-synchronous oscillation parameter identification method based on interpolated DFT |
| CN110930680A (en) * | 2019-12-01 | 2020-03-27 | 云南电网有限责任公司 | Multi-mode phasor monitoring and real-time data transmission system and method |
| CN111308202A (en) * | 2019-11-05 | 2020-06-19 | 云南电网有限责任公司 | Broad-spectrum synchronous phasor acquisition system based on harmonic self-adaptive detection method |
| CN111398679A (en) * | 2020-03-09 | 2020-07-10 | 华北电力大学 | Sub-synchronous oscillation identification and alarm method based on PMU (phasor measurement Unit) |
| CN111413578A (en) * | 2019-05-29 | 2020-07-14 | 中国电力工程顾问集团华北电力设计院有限公司 | Real-time monitoring and early warning method for subsynchronous oscillation |
| CN111679124A (en) * | 2020-06-04 | 2020-09-18 | 北京交通大学 | Oscillation identification method and device for power system |
| CN111984920A (en) * | 2020-08-31 | 2020-11-24 | 广东电网有限责任公司广州供电局 | Subsynchronous/supersynchronous harmonic parameter identification method, subsynchronous/supersynchronous harmonic parameter identification device, subsynchronous/supersynchronous harmonic parameter identification equipment and medium |
| CN112602248A (en) * | 2018-08-24 | 2021-04-02 | 乌本产权有限公司 | Wind energy installation and method for detecting low-frequency oscillations in an electrical supply network |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1093171A (en) * | 1994-01-31 | 1994-10-05 | 清华大学 | The method of monitoring subsynchronous oscillation of electrical power system and monitor |
| CN105606895A (en) * | 2016-01-07 | 2016-05-25 | 国家电网公司 | On-line detection and filtering methods for sub-synchronous oscillation part of power system |
| CN106155981A (en) * | 2016-06-23 | 2016-11-23 | 国家电网公司 | A kind of sub-synchronous oscillation parameter detection method |
| CN106199183A (en) * | 2016-08-16 | 2016-12-07 | 国电南瑞科技股份有限公司 | A kind of PMU realizing sub-synchronous oscillation on-line identification alarm and method |
-
2016
- 2016-12-28 CN CN201611233053.3A patent/CN106841778B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1093171A (en) * | 1994-01-31 | 1994-10-05 | 清华大学 | The method of monitoring subsynchronous oscillation of electrical power system and monitor |
| CN105606895A (en) * | 2016-01-07 | 2016-05-25 | 国家电网公司 | On-line detection and filtering methods for sub-synchronous oscillation part of power system |
| CN106155981A (en) * | 2016-06-23 | 2016-11-23 | 国家电网公司 | A kind of sub-synchronous oscillation parameter detection method |
| CN106199183A (en) * | 2016-08-16 | 2016-12-07 | 国电南瑞科技股份有限公司 | A kind of PMU realizing sub-synchronous oscillation on-line identification alarm and method |
Non-Patent Citations (4)
| Title |
|---|
| 侯盼卫等: "基于FFT的高精度FMCW雷达频率估计算法", 《通信技术》 * |
| 孟祥儒: "Quinn和Rife-Jane算法用于振弦式传感器频率的精确检测", 《数据采集与处理》 * |
| 张敏等: "相量测量单元实现次同步振荡在线辨识和告警的探讨", 《电力系统自动化》 * |
| 谢小荣等: "电力系统次同步和超同步谐波相量的检测方法", 《电力系统自动化》 * |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107561359A (en) * | 2017-08-31 | 2018-01-09 | 国网新疆电力公司 | A kind of m-Acetyl chlorophosphonazo extracting method based on Blackman window |
| CN108490254A (en) * | 2018-01-29 | 2018-09-04 | 国电南瑞科技股份有限公司 | A kind of broadband multi-frequency signal measurement method based on more algorithm fusions |
| US11899050B2 (en) | 2018-08-24 | 2024-02-13 | Wobben Properties Gmbh | Wind turbine and method for detecting low-frequency oscillations in an electrical supply grid |
| CN112602248A (en) * | 2018-08-24 | 2021-04-02 | 乌本产权有限公司 | Wind energy installation and method for detecting low-frequency oscillations in an electrical supply network |
| CN111413578A (en) * | 2019-05-29 | 2020-07-14 | 中国电力工程顾问集团华北电力设计院有限公司 | Real-time monitoring and early warning method for subsynchronous oscillation |
| CN111413578B (en) * | 2019-05-29 | 2022-07-05 | 中国电力工程顾问集团华北电力设计院有限公司 | Real-time monitoring and early warning method for subsynchronous oscillation |
| CN110231514B (en) * | 2019-06-26 | 2021-06-08 | 北京四方继保自动化股份有限公司 | Synchronous phasor measurement method suitable for broadband measurement |
| CN110231514A (en) * | 2019-06-26 | 2019-09-13 | 北京四方继保自动化股份有限公司 | A kind of synchronous phasor measuring method suitable for wideband measurement |
| CN110412349A (en) * | 2019-08-27 | 2019-11-05 | 四川大学 | Synchronized phasor data sub-synchronous oscillation parameter identification method based on interpolated DFT |
| CN110412349B (en) * | 2019-08-27 | 2021-07-23 | 四川大学 | Interpolation DFT-based synchronous phasor data subsynchronous oscillation parameter identification method |
| CN111308202A (en) * | 2019-11-05 | 2020-06-19 | 云南电网有限责任公司 | Broad-spectrum synchronous phasor acquisition system based on harmonic self-adaptive detection method |
| CN111308202B (en) * | 2019-11-05 | 2022-02-22 | 云南电网有限责任公司 | Broad-spectrum synchronous phasor acquisition system based on harmonic self-adaptive detection method |
| CN110930680A (en) * | 2019-12-01 | 2020-03-27 | 云南电网有限责任公司 | Multi-mode phasor monitoring and real-time data transmission system and method |
| CN111398679B (en) * | 2020-03-09 | 2021-05-25 | 华北电力大学 | Sub-synchronous oscillation identification and alarm method based on PMU (phasor measurement Unit) |
| CN111398679A (en) * | 2020-03-09 | 2020-07-10 | 华北电力大学 | Sub-synchronous oscillation identification and alarm method based on PMU (phasor measurement Unit) |
| CN111679124B (en) * | 2020-06-04 | 2021-07-23 | 北京交通大学 | Oscillation identification method and device for power system |
| CN111679124A (en) * | 2020-06-04 | 2020-09-18 | 北京交通大学 | Oscillation identification method and device for power system |
| CN111984920A (en) * | 2020-08-31 | 2020-11-24 | 广东电网有限责任公司广州供电局 | Subsynchronous/supersynchronous harmonic parameter identification method, subsynchronous/supersynchronous harmonic parameter identification device, subsynchronous/supersynchronous harmonic parameter identification equipment and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106841778B (en) | 2020-02-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106841778A (en) | The processing method of the subsynchronous and supersynchronous harmonic parameters realized based on PMU | |
| CN106199183B (en) | A kind of PMU and method realizing sub-synchronous oscillation on-line identification alarm | |
| CN102901874B (en) | Phase- and time mark measurement-based electronic transformer absolute delay detection method | |
| CN105223418A (en) | The measuring method of subsynchronous and supersynchronous harmonic phasor and measurement mechanism | |
| CN103995181B (en) | Method for analyzing electric energy quality harmonic waves of digital substation | |
| CN203324398U (en) | Distributed photovoltaic inverter testing system | |
| CN102628894B (en) | Selective harmonic wave extracting method | |
| CN102495282A (en) | Measuring method of alternating current voltage frequency | |
| CN102902879A (en) | Synchronous phasor calculation method based on discrete Fourier transform (DFT) recursion of field programmable gate array (FPGA) hardware | |
| CN111521898B (en) | Power grid broadband signal intelligent sensing terminal and implementation method | |
| CN105911495A (en) | Analog standard source with IEC61850 digital interface and testing method thereof | |
| CN112505407B (en) | Power grid broadband oscillation monitoring method, system and equipment and readable storage medium | |
| CN106645919A (en) | Power grid full spectrum power oscillation phasor synchronization measurement method based on three-phase instantaneous power | |
| CN102981049A (en) | Frequency detection method used for microgrid system | |
| CN104502707A (en) | Synchronized phasor measurement method for electrical power system based on cubic spline interpolation | |
| CN101713799B (en) | Method for distinguishing three-phase alternating current phase sequences | |
| CN114865653A (en) | Distributed positioning method, system, equipment and storage medium for power grid oscillation source | |
| CN104198979B (en) | A kind of real-time comparison method that kinematic error is measured for wideband electric energy meter | |
| CN113484596A (en) | Power quality monitoring method, device and equipment and readable storage medium | |
| CN203216993U (en) | Power-grid harmonic real-time online monitor | |
| CN106093837A (en) | A kind of assess digitalized electrical energy meter method of measuring accuracy under complex working condition | |
| CN108037351A (en) | A kind of variable-frequency power sources power-factor measurement method | |
| CN103176030A (en) | Method for detecting inter-harmonics of power distribution system | |
| CN104090147B (en) | Transformer substation busbar voltage frequency instantaneous value measurement method based on short data window | |
| CN205015409U (en) | Electric energy quality on -line monitoring device based on ethernet |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |